Classification task on imbalanced loans dataset
-
Updated
May 22, 2022 - Jupyter Notebook
Classification task on imbalanced loans dataset
Minería de Datos: Preprocesamiento y Clasificación - Máster DATCOM 2020/2021
Email Spam Classifier: Effective Filtering with Machine Learning. Dataset source:
Analisis Inteligente de Datos - Trabajo Práctico - Asteroides Peligrosos
This project is designed to predict the quality of red or white wine based on various features. It utilizes Streamlit for the user interface and incorporates machine learning models from scikit-learn.
Modelos algoritmos de Machine Learning
Web para llevar nuestras clasificaciones de partidos de pádel #EscuadronDelPadel
Repositorio creado para el Curso de Machine Learning (Aprendizaje Automático) en el programa de Magister en Inteligencia Artificial de la Universidad Adolfo Ibáñez
Model comparison that can classify emails as spam or not spam using machine learning algorithms.
Datamining en Economía y Finanzas - Churn Prediction - Trabajo Práctico 1
Extracción, clasificación y modelización de noticias de El País.
To build a predictive model to predict the probability that a given customer will buy a "printer-related product."
Text Mining Suggestion Box with Naive Bayes Algorithm
An innovative model developed in order to detect Raga of Hindustani Classical music.
Trabajo Práctico Final para la materia Organización de Datos - UBA. Score máximo obtenido de 0.83726 para la competencia 'Real or Not? NLP with Disaster Tweets' de Kaggle.
The project goal is to predict whether the patient has a 10-year risk of future coronary heart disease (CHD). The dataset is from an ongoing cardiovascular study on residents of the town of Framingham, Massachusetts.
This repository features a four-pronged, in-depth investigation into global video games sales between 1980 and 2016.
Identifying Guns using Machine Learning for Image recognition with a Rapid Response System to Save Lives
Add a description, image, and links to the clasification topic page so that developers can more easily learn about it.
To associate your repository with the clasification topic, visit your repo's landing page and select "manage topics."